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Course Criteria
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3.00 Credits
(3-0) 3 credits. Prerequisite: CSC 105 or permission of instructor. This course focuses on techniques and methods for writing specifically for the Internet. Topics will include designing and creating documents for the World Wide Web, design considerations, and publishing and maintaining websites. Students will use HTML, web authoring software, and other software for web development.
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4.00 Credits
(4-0) 4 credits. Prerequisite: CSC 150 completed with a minimum grade of "C". Problem solving,algorithm design, standards of program style, debugging and testing. Extension of the control structures and data structures of the high-level language introduced in CSC 150. Elementary data structures and basic algorithms that include sorting and searching. Topics include more advanced treatment of functions, data types such as arrays and structures, and files.
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4.00 Credits
(4-0) 4 credits. Prerequisite: CSC 150 or permission of instructor. Selected topics from Boolean algebra, set theory, congruencies, equivalence relations, complexity, graph theory, combinatorics, induction, difference equations, and logic.
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3.00 Credits
(3-0) 3 credits. Prerequisite: CSC 211; corequisite: CSC 212 or permission of instructor. Student will learn the fundamentals of database management with specific attention to the most popular database systems currently in use on both NT and UNIX systems (Access, Sequel, and Oracle). Students will learn how data is stored and retrieved, the basics of the entity-relationship design methodology and table design, and an introduction to performance issues. This course emphasizes using existing systems rather than writing these systems. Students interested in the programming details should take CSC 484.
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1.00 - 5.00 Credits
1 to 5 credits. Prerequisite: Permission of instructor. Includes directed study, problems, readings, directed readings, special problems and special projects. Students complete individualized plans of study which include significant one-on-one student-teacher involvement. The faculty member and students negotiate the details of the study plans. Enrollments are usually 10 or fewer students. Meeting depending upon the requirements of the topic. May be repeated to a total of five (5) credit hours.
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1.00 - 5.00 Credits
1 to 5 credits. Includes current topics, advanced topics, and special topics. A course devoted to a particular issue in a specified field. Course content is not wholly included in the regular curriculum. Guest artists or experts may serve as instructors. Enrollments are usually 10 or fewer students with significant one-on-one student/teacher involvement. May be repeated to a total of five (5) credit hours.
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4.00 Credits
(4-0) 4 credits. Prerequisite: CSC 250 completed with a minimum grade of "C" and CSC251. A systematic study of data structures and the accompanying algorithms used in computing problems; structure and use of storage; methods of representing data; techniques for implementing data structures; linear lists; stacks; queues; trees and tree traversal; linked lists; and other structures.
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4.00 Credits
(2-2) 4 credits. Prerequisite: CSC 250. A thorough introduction to assembly language programming and processor architecture. A study of low-level programming techniques, and the layout of a typical computer. The student will gain insight into the memory layout, registers, run-time stack, and global data segment of a running program. This course is cross listed with CENG 314/314L. Graduation credit will not be allowed for both this course and CENG 314/314L.
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4.00 Credits
(3-1) 4 credits. Prerequisite: CSC 314 and CENG 244. A course in computer organization with emphasis on the hierarchical structure of computer systems. Covers such topics as: components of computer systems and their configuration, design of basic digital circuits, the microprogram level, the conventional machine level, the operating system level, assembly language, addressing modes, interpreters/translators, computer arithmetic.
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3.00 Credits
(3-0) 3 credits. Prerequisites: CSC 300 and MATH 125. Design and analysis of algorithms for numeric and nonnumeric problems, general problem-solving approaches, theory of computation. Topics will be selected from searching, sorting, graph algorithms, numerical algorithms, geometric algorithms, cryptography, and parallel algorithms.
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